三针式蒸气压亏缺预测模型数据

可以用于预测蒸气压亏缺,输入相对湿度、温度、三针式无患子液流值，输出为蒸气压亏缺值。该模型帮助解决了蒸气压亏缺和相关环境指标以及无患子液流的关系建模的问题。将采集的数据使用传统算法，多元线性回归算法等方式以预测用于蒸气压亏缺预测。该模型通过输入相对湿度、气温、三针式无患子液流，来输出预测的蒸气压亏缺

This dataset is designed for vapor pressure deficit (VPD) prediction, taking relative humidity, air temperature, and sap flow values of three-needle Sapindus as inputs and outputting predicted VPD values. This model addresses the challenge of modeling the relationships between VPD, relevant environmental indicators, and the sap flow of Sapindus. Collected field data are utilized with traditional algorithms such as multiple linear regression to develop VPD prediction models. The model takes relative humidity, air temperature, and sap flow of three-needle Sapindus as inputs to generate predicted vapor pressure deficit values.

搜集汇总

数据集介绍

特点

该数据集包含801条记录，用于预测蒸气压亏缺，主要输入变量为相对湿度、温度和三针式无患子液流值。数据由杭州五舟长空科技有限公司提供，每年更新一次，适用于农业领域的环境指标建模。